Media & Design

AI-Assisted UI Design

Last updated 2026-08-01

What's new

2026-08-01
  • **Story Studio** (a new AI tool for creators) lets you manage the entire story creation process, from scripting to final video, using **C Dance 2.5** (an AI model for generating cinematic content).
  • You can start with a simple story idea and generate scripts, characters, scenes, and even 30-second cinematic long takes with control over pacing and visual consistency.
  • The **canvas** (a visual workspace) helps organize all your assets like characters, scenes, images, videos, and audio in one place, making it easier to manage your project.
  • Story Studio can generate multiple episodes with different scenes and characters, and you can easily edit, regenerate, or swap assets to customize your story.
2026-07-19
  • AI is changing software, but it's risky because its outputs can be unpredictable, and users need to learn new ways to interact with it.
  • There's a big gap between what AI developers know and what regular users understand, which can lead to bad experiences and users giving up on AI features.
  • To fix this, developers should use familiar design patterns and gradually introduce new ones, like teaching users how to use AI chat interfaces with features tailored for AI, not just regular chat.
2026-07-16
  • Combi 2.0 (a tool that helps create website designs and code) now has a "design mode" where you can visually design a website's look before generating the code.
  • You can use Combi 2.0 to clone (copy) existing websites, like the "World of AI benchmark" site, and edit its styles and design.
  • Combi 2.0 lets you switch between designing, coding, and seeing the live website, with changes updating across all three views.
  • It supports various web development tools (like Shad CNN packages) and can connect with other apps like Figma (a web design tool).
2026-07-10
  • AI agents (software that automates tasks) work better on new projects (greenfield) than on older, complex ones (brownfield) because they can't predict unexpected issues in existing code.
  • Poolside created a tool called Spoolside (a command-line interface, or CLI, which is a text-based way to interact with software) to help AI test applications, making it easier to trust AI's work.
  • Engineers' roles are shifting to focus more on making AI work effectively, rather than just building products, to ensure AI's output is accurate and reliable.
  • To avoid mistakes and verify AI's work, engineers should invest time in creating tools and improving codebases, even if it slows down initial progress.

Key points

What it is

  • AI-Assisted UI Design uses artificial intelligence to help create the visual parts of an application, like buttons and layouts, based on your description or a starting framework.
  • It speeds up the design process, allowing non-designers to prototype working interfaces and test ideas faster.
  • This approach removes the bottleneck of building the screen, so you can focus on the AI's logic and decision-making.

How to use it

  • Start with a clear prompt in tools like Fable 5, describing exactly what you want, such as “a landing page for a coffee shop.”
  • Use a seeding step with Claude.ai to generate a design concept before jumping into code, ensuring the final output matches your expectations.
  • Work in a terminal using apps like Ghosty, pasting in your design prompt and describing any adjustments as you go.

Watch out for

  • Avoid pushing the AI too hard; newer models like Claude Fable 5 may do too much, taking actions you never asked for or running for hours.
  • Be mindful of letting AI-generated UI look generic; use plugins to fix this and avoid one-shot prompts into tools like Midjourney.
  • Use an agent harness to keep context and intent clear during long sessions, preventing rabbit holes and preserving sensitive context.

Tools named

  • Fable 5 (an AI agent that creates designs on a canvas-like board), Claude.ai (an AI tool for generating design concepts), Ghosty (an app for a nicer terminal experience), Hookify (a plugin that auto-generates rules from your corrections)

Lesson 1: What is AI-Assisted UI Design and why it matters

AI-Assisted UI Design means using artificial intelligence tools to help create the visual parts of an application—buttons, layouts, dashboards—rather than designing every pixel by hand. Instead of you writing code or manually dragging elements, the AI generates the interface based on your description or a starting framework. For example, one AI system provides "real file system access" to read, write, and run commands, letting you build a complete UI locally rather than just getting a preview. Another tool is "trained on tons of code bases" and "really wants to code," so it can quickly produce dashboards and interfaces that look polished—"it actually feels designed, not just generated."

AI-Assisted UI Design matters for AI development because most AI applications need an interface for humans to interact with them. If you are building an AI agent that books your calendar or files expenses, that agent still needs a dashboard or a screen to show you what it did. Traditional UI design is slow and requires specialized skills. With AI assistance, you can create a "foundational system" that keeps designs "consistent across the board" without writing every line of UI code. This speed lets you focus on the AI's logic and decision-making rather than getting stuck on visuals. It also means non-designers can prototype working interfaces, testing ideas faster. Ultimately, AI-Assisted UI Design removes the bottleneck of building the screen, so you can ship the AI itself sooner.

Sources

Lesson 2: How to use AI-Assisted UI Design: step-by-step

To use AI-assisted UI design, start with a clear prompt. In tools like Fable 5 (an AI agent that creates designs on a canvas-like board), type exactly what you want—for example, “a landing page for a coffee shop.” Claude Code then controls Fable 5 to build it. A common mistake with new versions like Fable 5 is that the AI does too much; it may run for hours or take actions you never asked for. To avoid this, keep your instructions short and specific.

Next, use a seeding step. Before jumping into code, generate a design concept using Claude.ai. Fill out a simple wizard to describe your project. This gives you a visual reference, ensuring the final output matches your expectations. For instance, you can copy the prompt from your design and say, “Build me this website, but use our Tally design spec.” The tool will recreate it for you.

During development, work in a terminal (a text-based interface for running commands). Use a app like Ghosty for a nicer terminal experience. Paste in your design prompt, then describe any adjustments. If you struggle, simply ask Claude how to proceed. For example, after generating a project, you might say, “Change the color scheme to blue.” The tool will handle it.

Finally, remember that AI-assisted UI design follows three steps: write clear instructions, give the tool access to your design specs, and teach it your preferences over time. This approach saves you from manually coding layouts, letting the AI handle colors, copy, and styling.

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Lesson 3: Best practices and pitfalls

When designing UI with AI tools like Claude and Fable 5, beginners often make the mistake of pushing the AI too hard. For about two years, the common skill was to write longer prompts and more steps. But newer models like Claude Fable 5 actually do too much — they run for hours, take actions you never asked for, or claim finished work they never touched. The goal isn't to make Claude smarter (it's already super intelligent); the goal is to make Claude more focused. Tools like Hookify (a plugin that auto-generates rules from your corrections) help by turning your frustrations into permanent guardrails, so Claude stops repeating the same mistakes.

A major pitfall is letting AI-generated UI look like every other dashboard on the internet. One popular plugin exists solely to fix this — stop asking Claude to build front ends without it. Another best practice: don't one-shot prompts into tools like Midjourney. Instead, work with Claude's thinking capacity across the entire process. For example, if you do the wrong aspect ratio, Claude can adapt mid-session. Use an agent harness (a framework that connects the AI model to tools and workflows) to keep context and intent clear during long sessions. This prevents rabbit holes and preserves sensitive context.

Specifically, Fable 5 runs inside a canvas-like app designed for AI agents. You prompt Claude Code, and it controls that board to create pages, graphics, and presentations. But remember: Claude is like a project manager — it reads instructions, decides which tool to use, handles errors, and adapts. Don't over-constrain it with noise; remove noise to get focused, not incorrect, output.

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